Introducing Genie 2: our AI model that can create an endless variety of playable 3D worlds - all from a single image. 🖼️
These types of large-scale foundation world models could enable future agents to be trained and evaluated in an endless number of virtual environments. → https://t.co/1dzB2BUlWo
We are very happy to present GIMP 3.0.0 RC1! 🥳
Now is the time for everyone to test our first release candidate for what will be GIMP 3.0.0.
Result of years of work, we expect bugs (you should report!) but we hope you will still appreciate. 🤗
https://t.co/ces0cJulIm
Time for another #ProgressReport, XR Edition ✨
From body-tracking to pass-through improvements, read what the team has been up to - text sadly only available in 2D:
https://t.co/CRgcIULP9b
Swamp Giant is a practice project by Environment and Level Artist Erik Simon, aimed at learning SpeedTree. 🌳
Erik challenged himself to see how far he could go using only SpeedTree—without any external modeling or additional Unreal material layers. The result is stunning!
For some more behind the scenes on this project, head on over to his ArtStation: https://t.co/rp2jv7S1wd
The Dark Dungeons, made in UE5 by @scionti_design, is running in real-time in Lumen. Trees are from Quixel Megascans, and the asset package is from Scans Factory Medieval Fantasy Ruins 😱
Get more info on the eerie environment over on his ArtStation: https://t.co/dIiwjVGw7O
@WindowsCentral@JezCorden This article's prediction may hold true if the LLM research continues to rely on the same training methods, data acquisition strategies, and fine-tuning or alignment approaches.
@WindowsCentral@JezCorden Additionally, several recently released methods suggest the potential for LLMs to self-improve. For instance, LLMs themselves can rank or critique their own generations, essentially performing a self-assessment for self-improvement. We can expect even more such methods to emerge.